Director IT - Data Science & AI

At Suntory Global Spirits, we craft spirits of the highest quality and deliver brilliant experiences to people around the world. Suntory Global Spirits has evolved into the world's third largest leading premium spirits company ... where each employee is treated like family and trusted with legacy. With our greatest assets - our premium spirits and our people - we're driving growth through impactful marketing, innovation and an entrepreneurial spirit. Suntory Global Spirits is a place where you can come Unleash your Spirit by making an impact each and every day.

 

 

Director IT - Data Science & AI  

 

The following position is open in New York, United States.

What makes this a great opportunity?

As the Director of Data Science, you will spearhead our centralized data science team, setting the gold standard for data science practices across the organization. This pivotal role is not just about leading a team to deliver advanced analytics solutions; it is about being at the heart of transforming data into actionable insights that drive strategic decisions across business functions and markets. You will have the unique opportunity to influence the company's direction, optimize operations, and enhance our competitive edge in the market. This role is perfect for a visionary leader passionate about leveraging data science to unlock new opportunities and efficiencies in a dynamic industry setting.

 

This role offers the chance to be at the forefront of data science innovation in the beverage and alcohol industry, leading a team that directly contributes to our strategic goals and operational excellence. If you are a leader driven by the power of data to transform business, we invite you to apply.

Role Responsibilities

Leadership in Data Science: Build and lead a centralized team of data scientists, fostering a culture of innovation, collaboration, and excellence in data science across the organization.

Standards and Best Practices Development: Establish and promote a set of standards and best practices for data science, ensuring consistency, quality, and impact of data science projects across the company.

Advanced Analytics Solutions: Drive the development and delivery of advanced analytics projects, applying machine learning, predictive modeling, and other data science methods to deliver actionable insights for various business functions and markets.

Strategic Collaboration: Partner with business leaders, IT, and other stakeholders to identify opportunities for data science initiatives that support business objectives and drive value.

Talent Development and Management: Attract, develop, and retain top talent in data science, creating a strong team capable of tackling complex analytical challenges.

Innovation and Research: Stay abreast of emerging data science technologies and methodologies, exploring new tools and techniques that can enhance the organization's analytical capabilities.

Impact Measurement: Develop and monitor key performance indicators (KPIs) to evaluate the effectiveness of data science initiatives and their impact on business outcomes.

Qualifications

Education: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

Experience: At least 10 years of experience in data science, with a proven track record of leading data science teams and delivering impactful analytics projects, preferably in the beverage and alcohol or other CPG industries.

Technical Expertise: Deep knowledge of machine learning, predictive analytics, and statistical modeling techniques, with proficiency in data science tools and programming languages such as Python, R, or Scala.

Leadership Skills: Demonstrated ability to lead and inspire a team of data scientists, fostering a collaborative and innovative work environment.

Strategic Thinking: Strong strategic and analytical thinking skills, with the ability to translate complex data insights into actionable business strategies.

Communication Skills: Excellent communication and interpersonal skills, with the ability to convey complex data science concepts to non-technical stakeholders.

Industry Knowledge: Understanding of the beverage and alcohol manufacturing sector, including market dynamics, customer behaviors, and regulatory constraints.

Scalable Technologies: Familiarity with cloud computing platforms (e.g., Google Cloud Platform), big data technologies, and advanced analytics platforms.

Commercial Analytics (Nice to Have): Experience in RGM (revenue growth management) and evaluating brand investment effectiveness for a CPG company. A background in leveraging analytics to drive commercial decisions, optimize pricing strategies, promotional effectiveness, and portfolio management in the beverage and alcohol